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Machine Learning Researcher Jobs (NOW HIRING)

Kiddom

Machine Learning Researcher

New York, NY

$180K - $280K/yr

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching ...

Kiddom

Machine Learning Researcher

San Francisco, CA

$180K - $280K/yr

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching ...

Kiddom

Machine Learning Researcher

New York, NY · On-site

$180K - $280K/yr

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching ...

Inference

Machine Learning Researcher

San Francisco, CA · On-site

$250K - $350K/yr

Perform reinforcement learning research to improve model alignment and capability * Develop and improve our distillation pipeline for training high-quality models from frontier teachers * Train ...

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Machine Learning Researcher information

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$30K

$113.1K

$164.5K

How much do machine learning researcher jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

More about Machine Learning Researcher jobs
What cities are hiring for Machine Learning Researcher jobs? Cities with the most Machine Learning Researcher job openings:
What are the most commonly searched types of Machine Learning Researcher jobs? The most popular types of Machine Learning Researcher jobs are:
What states have the most Machine Learning Researcher jobs? States with the most job openings for Machine Learning Researcher jobs include:
What job categories do people searching Machine Learning Researcher jobs look for? The top searched job categories for Machine Learning Researcher jobs are:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in the United States as of May 2026, with employment types broken down into 40% Full Time, 56% Part Time, and 4% Contract. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Machine Learning Researcher

Machine Learning Researcher

Kiddom

New York, NY

$180K - $280K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 18 days ago

Job description

About Kiddom

Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum - resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom's high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning.

Join our mission to revolutionize K-12 education at the intersection of cutting-edge AI and impactful learning outcomes. As a Machine Learning Researcher, you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching experience and improving student outcomes. This role combines technical excellence with an opportunity to make a tangible impact on the lives of educators and students nationwide.
What We're Looking For:
  • At least 1+ year working with generative AI models.
  • Hands-on experience with generative AI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, and evaluation of large language model applications.
  • Proficiency in Python programming and version control.
  • Strong understanding of the latest AI trends and practices to maintain state-of-the-art solutions.
  • Collaboration: Excellent communication skills to work effectively with cross-functional teams.
  • Education: PhD or Master's in Computer Science, Data Science, or a related field, or equivalent experience.
Nice to have:
  • Experience in the EdTech industry or a strong interest in K-12 education.
  • Knowledge of educational pedagogy or curriculum development.
  • Hands-on experience with multi-modal models.
  • Familiarity with software engineering practices such as Test-Driven Development (TDD) and CI/CD pipelines.
  • Interest or experience in authoring research papers or white papers.
Why Join Us?
  • Make a Tangible Impact: Contribute to improving K-12 education by empowering teachers and enhancing student learning experiences.
  • Work on Cutting-Edge AI: Dive into the latest advancements, including prompt engineering, RAG, multi-modal models, and more.
  • Collaborate with Passionate Teams: Be part of a diverse team of engineers, designers, product managers, and educators who are driven to solve meaningful problems.
  • Growth and Learning Opportunities: Stay at the forefront of AI research and technology in a supportive, innovative environment.
$180,000 - $280,000 a year
Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.

What we offer
Full time permanent employees are eligible for the following benefits from their first day of employment:
* Competitive salary
* Meaningful equity
* Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
* One Medical membership (in participating locations)
* Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.
* 10 paid sick days per year (pro rated depending on start date)
* Paid holidays
* Paid bereavement leave
* Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
* Commuter and FSA plans

Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.
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